apply_classifier: Apply a classifier induced with function build_classifier

In shattering: Estimate the Shattering Coefficient for a Particular Dataset

Description

This function applies the set of SVM classifiers to perform the supervised learning task based on the topological data analysis

Usage

apply_classifier(model, X, only.best.classifiers = FALSE)

Arguments

model	model built using function build_classifier
X	matrix defining the input space of your test set
only.best.classifiers	if TRUE, only the most performing classification functions will be considered

Value

prediction results

References

de Mello, R.F. (2019) "On the Shattering Coefficient of Supervised Learning Algorithms" arXiv:https://arxiv.org/abs/1911.05461

de Mello, R.F., Ponti, M.A. (2018, ISBN: 978-3319949888) "Machine Learning: A Practical Approach on the Statistical Learning Theory"

shattering documentation built on Aug. 21, 2021, 5:06 p.m.